Hohman’s research focuses on designing and developing interactive tools that enable people to make sense of deep neural networks using principles from human-computer interaction and data visualization.

Kahng was one of 39 students in North America to receive the award and one of three students to receive the award in the area of Human-Computer Interaction (HCI) in the nation. His research aims to develop interactive and visual tools to help people explore, interpret, and engage with machine learning systems.